Biomechanics-Based Motion Analysis

Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.

Bibliographic Details
Main Author: Ma, Christina Zong-Hao
Other Authors: Li, Zhengrong, He, Chen
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
N/a
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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100 1 |a Ma, Christina Zong-Hao 
245 0 0 |a Biomechanics-Based Motion Analysis  |h Elektronische Ressource 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2023 
300 |a 1 electronic resource (386 p.) 
653 |a machine learning 
653 |a spinal alignment 
653 |a kinematic alignment 
653 |a inertial measurement units 
653 |a lower limb 
653 |a walking speed classification 
653 |a marker-free video 
653 |a negative heel shoes 
653 |a adolescent idiopathic scoliosis (AIS) 
653 |a finite element 
653 |a OpenSim 
653 |a sensor 
653 |a running style 
653 |a finite element method 
653 |a normal walking 
653 |a Schroth exercise 
653 |a two-dimensional (2D) image 
653 |a freezing of gait 
653 |a motion simulation 
653 |a deep learning 
653 |a ground reaction force 
653 |a human choriocarcinoma cell 
653 |a intelligent system 
653 |a joint moment 
653 |a durotaxis 
653 |a walking speed 
653 |a multivariable linear regression 
653 |a classroom behavior 
653 |a markerless motion capture system 
653 |a intramedullary fixation 
653 |a anterior cruciate ligament deficiency 
653 |a gait initiation 
653 |a dentistry 
653 |a characteristic points 
653 |a stiffness 
653 |a pose estimation 
653 |a rehabilitation 
653 |a gait 
653 |a proximal humerus fracture 
653 |a hand exoskeleton design 
653 |a muscle force computation 
653 |a EMG-force relation 
653 |a muscle fiber conduction velocity (MFCV) 
653 |a finite element analysis 
653 |a electromyography 
653 |a position measurement 
653 |a healthy adults 
653 |a femoral neck fracture 
653 |a surface electromyography (sEMG) 
653 |a paraspinal muscle 
653 |a surface electromyography (EMG) 
653 |a base of support 
653 |a motion identification 
653 |a posture analysis 
653 |a surface topography 
653 |a running economy 
653 |a spinal loading 
653 |a intention recognition 
653 |a stride frequency 
653 |a biomedical informatics 
653 |a ratio-based body measurement 
653 |a redundant feature 
653 |a ligament strain 
653 |a spinal cord injury (SCI) 
653 |a n/a 
653 |a performance 
653 |a spinal reconstruction 
653 |a mechanical alignment 
653 |a normative data 
653 |a proximal junctional failure 
653 |a coordinate measuring machines 
653 |a human ankle model 
653 |a muscle activation 
653 |a Medicine / bicssc 
653 |a velocity fluctuations 
653 |a shoulder activity 
653 |a biomechanics 
653 |a thoracolumbar spine 
653 |a multibody simulation 
653 |a dental unit chair systems 
653 |a composite index 
653 |a sports 
653 |a internal fixation 
653 |a rehabilitation protocol 
653 |a anthropometry 
653 |a segmental centers of mass 
653 |a rasterstereographic back shape analysis 
653 |a kinematics 
653 |a paraspinal muscle symmetry index (PMSI) 
653 |a rollback 
653 |a duty factor 
653 |a vertical oscillation 
653 |a muscle fatigue 
653 |a bi-LSTM 
653 |a in vivo study 
653 |a pregnant women 
653 |a optimal feature 
653 |a joint power 
653 |a degeneration 
653 |a product of exponentials formula 
653 |a intervertebral disc 
653 |a extracellular matrix 
653 |a musculoskeletal multibody dynamics 
653 |a competitive swimming 
653 |a posture 
653 |a IDEEA 
653 |a positive heel shoes 
653 |a biomechanical model 
653 |a Parkinson's disease 
653 |a knee and hip 
653 |a anthropometric measurement 
653 |a embryo implantation 
653 |a thoracolumbar 
653 |a spinal biomechanics 
653 |a total knee arthroplasty 
653 |a coupled 
653 |a gait analysis 
653 |a spine 
653 |a gait-phase prediction 
653 |a co-simulation 
700 1 |a Li, Zhengrong 
700 1 |a He, Chen 
700 1 |a Ma, Christina Zong-Hao 
041 0 7 |a eng  |2 ISO 639-2 
989 |b DOAB  |a Directory of Open Access Books 
500 |a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/ 
024 8 |a 10.3390/books978-3-0365-8026-5 
856 4 2 |u https://directory.doabooks.org/handle/20.500.12854/112497  |z DOAB: description of the publication 
856 4 0 |u https://www.mdpi.com/books/pdfview/book/7614  |7 0  |x Verlag  |3 Volltext 
082 0 |a 330 
082 0 |a 610 
082 0 |a 580 
082 0 |a 140 
082 0 |a 700 
520 |a Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.